SciFig vs Snorkel AI
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
SciFig compared with Snorkel AI
| Detail |
SciFig |
Snorkel AI |
| What it does | AI scientific figure generator for illustrations, charts and flowcharts
| Expert data development for frontier AI
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| Stage | Not given
| Established
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| Founded | Not given
| 2019
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| Based in | GB
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| Pricing model | Freemium
| Contact for pricing
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| Pricing | Not given
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| Key features | - Sketch-to-Figure: convert hand-drawn sketches into editable scientific illustrations
- Reference-to-Figure: create illustrations from reference images and papers
- PDF-to-Figure and Photo-to-Figure input modes
- DataChart: 50 chart types plotted from CSV and Excel data
- FlowChart: editable diagrams for PRISMA, CONSORT, model architectures and workflows
- Export as editable PPTX, layered SVG and 8K PNG/JPG
- Region redraw and AI editing without regenerating entire figure
- Vector Canvas: edit any figure as layered, editable SVG
- Publication license certificate for each figure with QR verification
| - Research-grade datasets with rubrics, reviewer guidance, difficulty tiers and eval slices
- Custom data development for specific failure surfaces and use cases
- Specialized agents built on expert data evaluated in real workflows
- Benchmark-grade environments and evaluation harnesses
- Provenance tracking with full audit trails for all labeled data
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| What makes it different | - Every figure stays editable after generation, not flat raster output like general image generators
- One credit buys creation and editing across all three workspaces: Illustration, DataChart and FlowChart
| - Research-driven data lab focused on quality and frontier-hardness rather than volume
- Domain-specific benchmarks and evaluation environments built for real-world, high-stakes failures
- Research methodology published and peer-reviewed with 200+ papers
- Comprehensive data lifecycle from SFT to RL training to evaluation
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| Free plan | Not given
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| Open source | Not given
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| Platforms | Not given
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| Public API | Not given
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| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 48 ▲ +1 (up) since last check | 72 ● no change since last check |
| Trust Flow (Majestic) | 11 | 24 |
| Citation Flow (Majestic) | 34 | 42 |
| Referring domains (Majestic) | 301 | 2315 |
4 details filled in for both companies.
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